loft | Virtual Cluster Manager for Kubernetes - Lightweight | Continuous Deployment library

If you put an intersectionObserver on each image then you will be notified when it comes into and goes out of the viewport.

In the callback function you can then set a class on the thumbnail to highlight it or not respectively.

Let me know if you want more help with the code.

You can iterate over measurements and find the object you need:

You just need to echo the custom field in the window.open

This should work. Just replace your_field with your ACF field name

Use nl2br for regular line breaks

You could use the_title filter hook to manipulate the title. Also use some conditional check to manipulate only the products name on the shop page. So i'd do something like this:

This trick using ordered factors will get you most of the way there:

1- You did it the proper way! I have been doing it the same way for a long time, and based on my experiences on webscraping, using your browser network tab is by far the best way to get info about the requests made on a website, better than any "extension" and/or "plugin" that I know of!!! There is also "burp suit" on kali linux or on windows, but again the network tab on the browser is always my number one choice!

2- I have been using the same website that you mentioned!!! It makes my life easier and works seamlessly fine. Of curse, you could do it manually, but the website you mentioned makes it easier and faster for me, and I have been using it for a long time!

3- You could do it manually, it's pretty straightforward, but like I said, the website you mentioned makes it easier and faster .

4- It's probably because you're using requests.options, I would try to use requests.get instead!!!

It all depends on how would you search and present the data...

From performance perspective even it will be best to split the data in database per state and collections to represent the city , but this mean additional logic in your app to support the model and the logic to fetch some global details from all states/cities will become abit more complex.

If you have everything in single collection and you choose good indexes there will be no issues , at some point in time when the database grow you will just need to split the collection in more shards , but the logic to deal with the database will stay simple since you will have everything in single place. ( this is where your database of choice-mongodb can be of help since the sharding mechanism is build in and very easy to configure )

So to me seems splitting the data to states as good compromise since there is no need the people from Oregon to query all the USA data to find few houses in some small village in Oregon when they can search only the collection in Oregon , but at the same time if you shard the collection and you have good sharding index that include the state , the query will go just to the shard where Oregon data is located ... , with the sharding there is other trick for example if you search houses with swimming pool , but you dont include the state in the filter ( if it is sharding key ) the query will do scatter-gather to all shards to find those hauses ...

I hope that answer your question ...

One solution is to set the outside text color to transparent: